R for Statistics

Planners, statisticians, economists, monitoring and evaluation officers, and data analysts working in research, policy, and project management.

Develop participants' proficiency in using R for complex data analyses, including descriptive and inferential statistics, and advanced data visualizations.

• 🧮 Introduction to R: Understanding the R environment and importing data.
• 🧰 Data Manipulation: Cleaning, transforming, and preparing data for analysis.
• 📊 Statistical Analysis: Performing descriptive statistics, regression, and advanced tests.
• 📈 Visualization and Reporting: Creating dynamic charts and communicating results clearly.